H 264 Health and AI

Understand how AI shapes health decisions and outcomes

In H 264, you’ll examine how artificial intelligence is redefining how we understand, prevent, promote and treat health.

You’ll explore real-world uses of AI across individuals, families, communities, populations and health care systems while asking the big questions about ethics, equity, transparency and privacy. No coding required.

What makes this course stand out?

No-code, hands-on learning

Try interactive AI tools and demos to interpret how they work and what they get wrong.

Real-world applications

Study AI for disease detection, health communication, environmental health and clinical decision support.

Bias and fairness focus

Learn how data quality and representation shape accuracy, bias and health disparities.

Ethics you can apply

Evaluate privacy, transparency and accountability in AI systems used in health settings.

Future-ready skills

Build confidence to assess AI health tools as a student, professional and informed consumer.

Who should take this course? 

Public health majors

Evaluate how AI tools shape population health strategies, equity and community outcomes.

Pre-med students

Understand how AI influences screening, diagnosis and patient trust in health care settings.

Computer science and data science majors

Apply technical curiosity to real health use cases while strengthening ethics and equity thinking.

College of Science students

Connect evidence, data and bias concepts to real decisions in health research and practice.

Human development and family sciences majors

Examine how AI affects families, caregiving, education and child development contexts.

Business administration majors

Analyze how AI is changing health industries, workplaces and consumer-facing health products.

Exploratory students

Build a practical understanding of AI in everyday health.